{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T05:07:00Z","timestamp":1741410420324,"version":"3.38.0"},"reference-count":30,"publisher":"Tech Science Press","issue":"2","license":[{"start":{"date-parts":[[2024,11,24]],"date-time":"2024-11-24T00:00:00Z","timestamp":1732406400000},"content-version":"vor","delay-in-days":328,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.056038","type":"journal-article","created":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T06:41:46Z","timestamp":1729060906000},"page":"2629-2642","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["PCB CT Image Element Segmentation Model Optimizing the Semantic Perception of Connectivity Relationship"],"prefix":"10.32604","volume":"81","author":[{"given":"Chen","family":"Chen","sequence":"first","affiliation":[]},{"given":"Kai","family":"Qiao","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Yan","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.3390\/electronics13061006","article-title":"CD-MAE: Contrastive dual-masked autoencoder pre-training model for PCB CT image element segmentation","volume":"13","author":"Song","year":"2024","journal-title":"Electronics"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"C. Chen, K. Qiao, J. Yang, J. Chen, and B. Yan, \u201cEfficient pretraining model based on multi-scale local visual field feature reconstruction for PCB CT image element segmentation,\u201d 2024, arXiv:2405.05745.","DOI":"10.1364\/AO.537767"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1049\/iet-ipr.2017.1208","article-title":"Wire segmentation for printed circuit board using deep convolutional neural network and graph cut model","volume":"12","author":"Qiao","year":"2018","journal-title":"IET Image Process."},{"key":"ref4","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1007\/978-3-030-01228-1_26","author":"Xiao","year":"2018","journal-title":"Computer Vision\u2013ECCV 2018"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1016\/S0262-8856(98)00160-7","article-title":"Size invariant circle detection","volume":"17","author":"Atherton","year":"1999","journal-title":"Image Vis. Comput."},{"key":"ref6","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1108\/CW-03-2019-0028","article-title":"Study and application of improved level set method with prior graph cut in PCB image segmentation","volume":"46","author":"Yin","year":"2020","journal-title":"Circ. World"},{"key":"ref7","article-title":"Semantic segmentation of a printed circuit board for component recognition based on depth images","volume":"20","author":"Li","year":"2020, Art. no. 5318","journal-title":"Sensors"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120029","article-title":"PCBSegClassNet\u2014A lightweight network for segmentation and classification of PCB component","volume":"225","author":"Makwana","year":"2023, Art. no. 120029","journal-title":"Expert. Syst. Appl."},{"key":"ref9","series-title":"Tenth Int. Conf. Learn. Rep., ICLR 2022","first-page":"2678","article-title":"BEiT: BERT pre-training of image transformers","author":"Bao","year":"Apr. 25\u201329, 2022"},{"key":"ref10","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","first-page":"16000","article-title":"Masked autoencoders are scalable vision learners","author":"He","year":"2022"},{"key":"ref11","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","first-page":"9653","article-title":"SimMIM: A simple framework for masked image modeling","author":"Xie","year":"2022"},{"key":"ref12","series-title":"ICLR 2022","first-page":"716","article-title":"Image BERT pre-training with online tokenizer","author":"Zhou","year":"2022"},{"key":"ref13","first-page":"552","article-title":"Perceptual codebook for BERT pre-training of vision transformers","volume":"37","author":"Dong","year":"2023","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"ref14","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","first-page":"14668","article-title":"Masked feature prediction for self-supervised visual pre-training","author":"Wei","year":"2022"},{"key":"ref15","series-title":"Eleventh Int. Conf. Learn. Rep.","first-page":"1611","article-title":"Masked image modeling with denoising contrast","author":"Yi","year":"2023"},{"key":"ref16","first-page":"247","author":"Dong","year":"2022","journal-title":"Computer Vision\u2013ECCV 2022"},{"key":"ref17","first-page":"337","author":"Wei","year":"2022","journal-title":"Computer Vision\u2013ECCV 2022"},{"key":"ref18","unstructured":"Z. Hou, F. Sun, Y. -K. Chen, Y. Xie, and S. Kung, \u201cMILAN: Masked image pretraining on language assisted representation,\u201d 2022, arXiv:2208.06049."},{"key":"ref19","series-title":"Twelfth Int. Conf. Learn. Rep. (Poster)","article-title":"Exploring target representations for masked autoencoders","author":"Liu","year":"2024"},{"key":"ref20","series-title":"Proc. 2004 Int. Symp. Intell. Multimed., Video Speech Process.","first-page":"743","article-title":"Automated image segmentation using improved PCNN model based on cross-entropy","author":"Ma","year":"2004"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1607","DOI":"10.1093\/bioinformatics\/btm158","article-title":"Weighted rank aggregation of cluster validation measures: A monte carlo cross-entropy approach","volume":"23","author":"Pihur","year":"2007","journal-title":"Bioinformatics"},{"key":"ref22","series-title":"2017 IEEE Int. Conf. Comput. Vis. (ICCV)","first-page":"2999","article-title":"Focal loss for dense object detection","author":"Lin","year":"2017"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.neucom.2022.07.042","article-title":"Focal and efficient IoU loss for accurate bounding box regression","volume":"506","author":"Zhang","year":"2022","journal-title":"Neurocomputing"},{"key":"ref24","series-title":"2018 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","first-page":"4413","article-title":"The Lov\u00e1sz-Softmax Loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks","author":"Berman","year":"2018"},{"key":"ref25","first-page":"234","author":"Ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015"},{"key":"ref26","series-title":"Proc. 31st ACM Int. Conf. Multimed.","first-page":"3219","article-title":"U2Net: A general framework with spatial-spectral-integrated double U-Net for image fusion","author":"Peng","year":"2023"},{"key":"ref27","series-title":"2017 IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"6230","article-title":"Pyramid scene parsing network","author":"Zhao","year":"2017"},{"key":"ref28","unstructured":"L. -C. Chen, G. Papandreou, F. Schroff, and H. Adam, \u201cRethinking atrous convolution for semantic image segmentation,\u201d 2017, arXiv:1706.05587."},{"key":"ref29","series-title":"2021 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"6877","article-title":"Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers","author":"Zheng","year":"2021"},{"key":"ref30","first-page":"12077","author":"Xie","year":"2024","journal-title":"Neural Information Processing Systems"}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-81-2\/TSP_CMC_56038\/TSP_CMC_56038.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T04:13:19Z","timestamp":1741320799000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v81n2\/58648"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":30,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.056038","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-07-12","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-09-29","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-18","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}